Recent experiments revealed that inhibitory interneurons networks are coupled by both electrical and inhibitory synapses. Moreover these findings suggest that a population of interneurons operate as a clockwork affecting the processing of neural information. In this paper we determine, in the weak coupling limit, the parameter values leading to the emergence of synchronous regime in a pair of Fast Spiking interneurons coupled by chemical and electrical synapses. Then, our results will be compared with those obtained recently in [1] for a pair of coupled Integrate & Fire neural models. Next, the effects of heterogeneities and noise on the coherence properties of the network (containing two or more coupled units) will be investigated numerically. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Chillemi, S., Panarese, A., Barbi, M., & Di Garbo, A. (2005). Gap-junctions promote synchrony in a network of inhibitory interneurons in the presence of heterogeneities and noise. In Lecture Notes in Computer Science (Vol. 3561, pp. 77–85). Springer Verlag. https://doi.org/10.1007/11499220_8
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